Junhong Lin

45 papers and 635 indexed citations i.

About

Junhong Lin is a scholar working on Computational Mechanics, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Junhong Lin has authored 45 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mechanics, 11 papers in Artificial Intelligence and 9 papers in Biomedical Engineering. Recurrent topics in Junhong Lin’s work include Sparse and Compressive Sensing Techniques (19 papers), Stochastic Gradient Optimization Techniques (8 papers) and Microwave Imaging and Scattering Analysis (6 papers). Junhong Lin is often cited by papers focused on Sparse and Compressive Sensing Techniques (19 papers), Stochastic Gradient Optimization Techniques (8 papers) and Microwave Imaging and Scattering Analysis (6 papers). Junhong Lin collaborates with scholars based in China, United States and Hong Kong. Junhong Lin's co-authors include Yih‐Ho Pao, Song Li, Ding‐Xuan Zhou, Lorenzo Rosasco, Volkan Cevher, Yi Shen, Raffaello Camoriano, Yi Shen, Song Li and Hartzell V. Schaff and has published in prestigious journals such as Circulation, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Junhong Lin i

Fields of papers citing papers by Junhong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junhong Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junhong Lin. The network helps show where Junhong Lin may publish in the future.

Countries citing papers authored by Junhong Lin

Since Specialization
Citations

This map shows the geographic impact of Junhong Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junhong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhong Lin more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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